Triple
T13103752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galloping Gertie |
E310786
|
entity |
| Predicate | windSpeedAtCollapseApprox |
P108078
|
FINISHED |
| Object | 64 km/h |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 64 km/h | Statement: [Galloping Gertie, windSpeedAtCollapseApprox, 64 km/h]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windSpeedAtCollapseApprox Context triple: [Galloping Gertie, windSpeedAtCollapseApprox, 64 km/h]
-
A.
windSpeed
Indicates the measured or estimated rate at which wind is moving at a given location and time.
-
B.
towerCollapsedIn
Indicates that a tower underwent structural failure and collapsed at or within a specified location or context.
-
C.
elevationBeforeCollapse
Indicates that one entity’s elevation value is measured or defined as it was prior to a collapse event affecting that entity or its supporting structure.
-
D.
roofCollapsed
Indicates that the roof of a structure has given way or fallen in, typically due to structural failure or external forces.
-
E.
maximumSustainedWinds
Indicates the highest wind speed that is maintained continuously over a specified averaging period, rather than in brief gusts.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:04 p.m.